GTM Systems & Advisory · Austin, TX
Most early-stage companies are trying to scale execution before they've built the infrastructure to support it. I help founders and revenue leaders close that gap — with clear systems, structured processes, and a GTM operating model that compounds over time.
Principle 01
Systems over symptoms
Most GTM problems aren't people problems — they're infrastructure problems wearing a people disguise. Fix the system.
Principle 02
Clarity before scale
Scaling ambiguity just produces expensive chaos. Nail definitions, ownership, and flow first. Then scale.
Principle 03
Process before analytics
You can't measure what you haven't built. Get the workflow right. Layer in dashboards after.
Principle 04
Foundation before automation
AI and agentic tooling are force multipliers — but only on clean infrastructure. Build the foundation first.
How I Work
GTM Systems Audit
A structured review of your current GTM infrastructure. Find the real breakdown points before proposing anything.
Embedded RevOps
Ongoing fractional support for teams who need a senior RevOps operator without the full-time cost or timeline.
GTM Architecture Sprint
A focused 4-week engagement to design or rebuild your GTM operating model from the foundation up.
The Universal GTM Framework
Most GTM frameworks tell you what to do. This one tells you in what order — and why sequence matters more than tactics. Built from patterns across companies facing the same problems at different stages.
Layer 1
Diagnostic
Map current state. Find real breakdown points. Align the team on what's actually broken before proposing anything.
Layer 2
Foundation
CRM, data model, definitions, ownership. The unglamorous infrastructure layer that makes everything else possible.
Layer 3
Motion
Define the GTM motion for your stage and market. Outbound, inbound, PLG — built to the foundation, not on top of chaos.
Layer 4
Intelligence
Signal capture, AI tooling, agentic workflows. Powerful on clean infrastructure. Accelerates problems without it.
On the horizon: The framework is being productized — templatized GTM buildouts and AI job readiness tooling for teams who want the methodology without the engagement.
Point of View
"Most GTM failures aren't strategic failures. They're infrastructure failures — and the two get confused because the symptoms look the same."
The pattern repeats across companies at every stage. A team with the right strategy, the right market, and the right people — still missing number. Not because the plan was wrong, but because the operating infrastructure underneath it couldn't support execution at scale.
Messy CRMs. Undefined ownership. Processes that exist in someone's head but nowhere in the system. Attribution that doesn't reflect reality. Dashboards built before the underlying workflow was clean enough to measure.
The companies that scale well aren't the ones that moved fastest — they're the ones that built the foundation before they needed it. Systems that enforce clarity. Processes that survive turnover. Data that reflects what's actually happening. That infrastructure is what makes everything else compound.
That's the work. Not strategy decks. Not tool recommendations. Building the operating layer that makes your GTM motion real.
On execution
Tactics without infrastructure just accelerate the mess.
Most teams add motion before they have foundation. The result is expensive noise — activity that can't be measured, managed, or replicated.
On tooling
AI doesn't fix broken systems. It scales them.
Agentic workflows are powerful multipliers — but only on clean infrastructure. Layer them too early and you automate the dysfunction.
On analytics
A dashboard built on bad process reports bad process with confidence.
Reporting is only as good as the workflow underneath it. Build the process first. The metrics follow.
On scale
Clarity is the only thing that survives headcount growth.
Ambiguity that works at five people breaks at fifteen. Ownership, definitions, and routing logic need to be in the system — not in someone's memory.
What's Coming
Consulting is the foundation.
Products are the direction.
The advisory work informs everything. Every engagement surfaces the same patterns — the same gaps, the same sequencing failures, the same questions teams don't know to ask. That pattern library is becoming something you can access without hiring me directly.
Templatized GTM Frameworks
Structured, ready-to-deploy GTM buildouts for early-stage teams. CRM data models, lead routing logic, lifecycle definitions, and motion playbooks — built to the Universal Framework, packaged for self-serve.
AI Job Readiness
A diagnostic and enablement layer for GTM teams navigating the shift to agentic workflows. Understand where your team and infrastructure are ready for AI — and where you'll automate the wrong things if you move now.
Let's talk
No pitch deck. We'll talk through what you're building, where it's breaking, and whether I'm the right person to help.